1 citations · 1 across the 6 of their papers we have counts for
21 papers
A minimal mechanism to generate long timescales without fine tuning
Kathryn McClain, Shivang Rawat, Mia Morrell +3
Long timescales in brain dynamics give rise to power law correlations measured in experiments. A simple linear recurrent neural network model can reproduce this power law behavior,…
AskChem: Claim-Centered Infrastructure for Chemistry Literature Synthesis
Bing Yan, Gregory Wolfe, Stefano Martiniani +1
Chemistry literature synthesis often requires assembling specific findings scattered across many publications, yet existing literature-search systems primarily return ranked docume…
Hyperuniform systems are maximally irreversible
Mathias Casiulis, Satyam Anand, Stefano Martiniani
Hyperuniform systems, defined by the anomalous suppression of large-scale density fluctuations, are a paradigm of non-equilibrium self-assembly. While mechanisms underlying the sel…
The Basins of Attraction of Soft Sphere Packings Are Not Fractal
Praharsh Suryadevara, Mathias Casiulis, Stefano Martiniani
The energy landscape picture is a central tool to study many-body systems. In particular, the energy landscapes of glass-forming liquids, jammed packings, constraint satisfaction p…
Cyclic Denoising Reveals Ultrastable Memories in Diffusion Models
Rishabh Sharma, Stefano Martiniani
We introduce cyclic denoising -- repeated forward and reverse diffusion at controlled noise amplitudes -- as an extraction attack for image diffusion models. Inspired by random org…
Open Materials Generation with Inference-Time Reinforcement Learning
Philipp Hoellmer, Stefano Martiniani
Continuous-time generative models for crystalline materials enable inverse materials design by learning to predict stable crystal structures, but incorporating explicit target prop…